Amanda C. Brown
Impact in
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
- Microbiology top 5%
Papers in
-
- Tuberculosis Research and Epidemiology 13
-
- Plant biochemistry and biosynthesis 4
- RNA and protein synthesis mechanisms 3
- Co-authors
- Tanya Parish (17 shared papers)S. R. Moss (2 shared papers)L. M. Field (2 shared papers)Dean C. Crick (3 shared papers)Lori Buetow (2 shared papers)Zoe A. Wilson (1 shared paper)William N. Hunter (2 shared papers)Matthias Eberl (2 shared papers)
- Journals
- PLoS ONE (4 papers)Microbiology (3 papers)Journal of Bacteriology (2 papers)Tuberculosis (1 paper)BMC Microbiology (1 paper)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Amanda C. Brown
32 papers receiving 911 citations
Peers
Comparison fields: 5 of 84
- Infectious Diseases 236
- Microbiology 67
- Molecular Medicine 43
- Epidemiology 235
- Pharmacology 115
Countries citing papers authored by Amanda C. Brown
This map shows the geographic impact of Amanda C. Brown's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Amanda C. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amanda C. Brown more than expected).
Fields of papers citing papers by Amanda C. Brown
This network shows the impact of papers produced by Amanda C. Brown. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Amanda C. Brown. The network helps show where Amanda C. Brown may publish in the future.
Co-authors
The 25 scholars most cited alongside Amanda C. Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 104 | |
| 2 | 2008 | 100 | |
| 3 | 2004 | 68 | |
| 4 | 2014 | 68 | |
| 5 | 2016 | 57 | |
| 6 | 2002 | 55 | |
| 7 | 2003 | 44 | |
| 8 | 2012 | 44 | |
| 9 | 2007 | 39 | |
| 10 | 2010 | 39 | |
| 11 | 2007 | 36 | |
| 12 | 2013 | 34 | |
| 13 | 2016 | 31 | |
| 14 | 2005 | 28 | |
| 15 | 2007 | 25 | |
| 16 | Mycobacterium: Genomics and Molecular Biology | 2008 | 23 |
| 17 | 2012 | 21 | |
| 18 | 2009 | 20 | |
| 19 | 2018 | 19 | |
| 20 | 2006 | 17 |
About Amanda C. Brown
Amanda C. Brown is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Microbiology and Pharmacology, having authored 33 papers that have together received 935 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (13 papers), Mycobacterium research and diagnosis (8 papers), Reproductive tract infections research (5 papers), Plant biochemistry and biosynthesis (4 papers), Bacterial Genetics and Biotechnology (4 papers), Microbial Natural Products and Biosynthesis (4 papers), RNA and protein synthesis mechanisms (3 papers) and Bacterial Identification and Susceptibility Testing (3 papers). The work is most often cited by research in Infectious Diseases (236 citations), Microbiology (67 citations), Molecular Medicine (43 citations), Epidemiology (235 citations) and Pharmacology (115 citations). Amanda C. Brown has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Tanya Parish, S. R. Moss, L. M. Field, Dean C. Crick, Lori Buetow, Zoe A. Wilson, William N. Hunter, Matthias Eberl, Yoann Personne and John D. Windass. Their work appears in journals such as PLoS ONE, Microbiology, Journal of Bacteriology, Tuberculosis and BMC Microbiology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.